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한국과 미얀마 속담의 비교 대조 -외국어대학교에서 사용한 한국어 텍스트를 중심으로-
세잉 세잉 에(Sein Sein Aye) 외솔회 2020 나라사랑 Vol.129 No.-
나라마다 많은 속담이 있어서, 글을 쓰거나 말할 때 그것으로 인해 의미가 있고 깊게 할 수 있다. 속담을 통해 한국어를 배우고 있는 미얀마 학습자들, 그리고 미얀마어를 배우는 한국인들에게 두 나라의 일상생활, 사고방식, 성격, 의식주, 사회, 전설, 역사 등으로 이해를 높이고, 그 나리들의 문화, 풍습을 쉽게 배울 수 있도록 공부에 이바지하는 것을 기대하고 목표로 한다. 본고에서 다루고 있는 속담은 양곤 외대에서 학사와 디프로마 3. 4학년 한국어 교과서와 활용 연습, 읽기(연세대)에 나타난 한국 속담 26개를 바탕으로 하여, 의미상 측면으로 미얀마 속담과 비교 대조한다. 의미 비교 대조할 때 한국과 미얀마 학자들이 엮은 속담 풀이와 사전들을 이용해 분석한다. 양쪽 국가와 민족들의 일상생활, 사고방식, 심리 상태, 의식주와 관련된 풍습, 역사와 지리 등에 포함된 속담들의 유사성과 차이를 찾아 결과로는, 속담 26개 중 18개는 여러 면에서 의미가 유사하며, 나머지 8개는 의미가 다르거나 없는 것이라고 나타난다. 그리고 한국과 미얀마 속담에 사용한 비유적인 표현 소재들은 속담 5개에 똑같고 13개에는 차이가 있다는 점이 드러난다. 양국이 역사, 지리 환경, 기후, 토양… 등 여러가지 요소로 인해 일상생활의 문화와 풍습, 사고방식에는 차이가 있어 그렇다고 본다. 본고의 연구 성과로 인해, 미얀마의 한국어 교육, 그리고 미얀마어를 배우는 한국인들에게 문화 교육이 한층 더 발전하는 계기가 되기를 바란다.
Authorship and the Sublime in the Shelleys’ History of a Six Weeks’ Tour
( Sein Oh ) 영미문학연구회 2019 영미문학연구 Vol.36 No.-
This essay pays close attention to the 1814 tour section of Shelleys’ History of a Six Weeks’ Tour, in order to point out that there is a gendered division of authorship for different parts of the work. By reviewing the text’s aesthetic ascent into “Mont Blanc,” I argue that Percy Shelley’s sublime vision in the poem is made possible by placing the problematic 1814 tour part under the female authorship anonymously wielded by Mary Shelley. The male poet’s sublime vision is given full aesthetic authority as the preceding travel writing filled with excessive account of trivial particularities is fully claimed to have been written by the accompanying wife of the poet. Recognizing the collaborative nature of the work, this essay observes that both Percy and Mary were writing about their physical inconveniences. It further contends that such a division of authorship is artificially constructed to promote the poet’s idea of the sublime, conforming to the gendered norms of the contemporary aesthetic traditions and thus revealing the gendering violence underneath their collaboration.
De-historicizing Rossetti: Queer Potentialities in “Goblin Market”
( Sein Oh ) 한국영미문학페미니즘학회 2019 영미문학페미니즘 Vol.27 No.1
This essay employs a risky strategy of de-historicization in reading Christina Rossetti’s much-discussed poem, “Goblin Market,” in order to identify the pattern of utopian desire embedded in the text. Drawing from Jose Esteban Muñoz’s emphasis on futurity in his consideration of queerness as a point in the utopian horizon, I argue that queer eroticism in “Goblin Market” evades historical underpinnings exactly because its state of jouissance is representable only as a dreamy, gestural, and ephemeral process, and poetry becomes the most appropriate form for preserving such a ghost-like gesture that can avoid the suffocating prison house of the present and project a potentially subversive shadow onto the futurity. For Rossetti, the reality is always already dominated by Victorian patriarchal and religious ideologies, but there is no clear deliberation on her side to destabilize and subvert that status quo. Instead, by way of representing queer performativity, she lets the text imagine what Muñoz calls “the warm illumination of a horizon imbued with potentiality,” something Rossetti herself is quite unconscious of, yet summoning inspirations for a radical alterity. However, despite my reliance on Muñoz’s theorization of queer utopianism, this essay is not interested in Rossetti’s actual political stance concerning gender insofar as I abandon any sort of historicization, which may be necessary in Muñoz’s search for historical concreteness in tracing the queer traces. Rossetti’s utopian future is not only indefinite (though Muñoz seems to deem it indefinite as well), but also non-existent in her cognitive realm, which makes her eroticism all the more autonomous and potential in emancipating itself from the grips of history.
Sensitivity Enhancement of a Vertical-Type CMOS Hall Device for a Magnetic Sensor
Sein Oh,Byung-Jun Jang,Hyungil Chae 한국전자파학회JEES 2018 Journal of Electromagnetic Engineering and Science Vol.18 No.1
This study presents a vertical-type CMOS Hall device with improved sensitivity to detect a 3D magnetic field in various types of sensors or communication devices. To improve sensitivity, trenches are implanted next to the current input terminal, so that the Hall current becomes maximum. The effect of the dimension and location of trenches on sensitivity is simulated in the COMSOL simulator. A verticaltype Hall device with a width of 16 μm and a height of 2 μm is optimized for maximum sensitivity. The simulation result shows that it has a 23% better result than a conventional vertical-type CMOS Hall device without a trench.
( Sein Lai Lai Aung ),( Hai Feng Liu ),( Dong Fang Pei ),( Bing Bin Lu ),( May Moe Oo ),( Jian Xin Deng ) 한국균학회 2020 Mycobiology Vol.48 No.3
A small-spored Alternaria was found from black spots of storaged Koerle pear (Pyrus sinkiangensis), one of the economically important fruit in Xinjiang province, China. The morphology is similar to A. limoniasperae but obviously different in secondary conidiophores and conidial septa. A phylogenetic analysis using sequence datasets of ITS, GAPDH, TEF1, RPB2, Alt a1, OPA10-2, and EndoPG genes revealed that it belonged to the Alternaria alternata complex group. Pathogenicity tests illustrated that the fungus was the causal pathogen of black spot on Koerle pear fruit.
Detection of Dangerous Situations using Deep Learning Model with Relational Inference
Jang, Sein,Battulga, Lkhagvadorj,Nasridinov, Aziz Korea Multimedia Society 2020 The journal of multimedia information system Vol.7 No.3
Crime has become one of the major problems in modern society. Even though visual surveillances through closed-circuit television (CCTV) is extensively used for solving crime, the number of crimes has not decreased. This is because there is insufficient workforce for performing 24-hour surveillance. In addition, CCTV surveillance by humans is not efficient for detecting dangerous situations owing to accuracy issues. In this paper, we propose the autonomous detection of dangerous situations in CCTV scenes using a deep learning model with relational inference. The main feature of the proposed method is that it can simultaneously perform object detection and relational inference to determine the danger of the situations captured by CCTV. This enables us to efficiently classify dangerous situations by inferring the relationship between detected objects (i.e., distance and position). Experimental results demonstrate that the proposed method outperforms existing methods in terms of the accuracy of image classification and the false alarm rate even when object detection accuracy is low.